2 papers
stat.ME2026
Surrogate-based Bayesian calibration methods for chaotic systems: a comparison of traditional and non-traditional approaches
Maike F. Holthuijzen, Atlanta Chakraborty, Elizabeth Krath +1
Parameter calibration is essential for reducing uncertainty and improving predictive fidelity in physics-based models, yet it is often limited by the high computational cost of mod…
stat.AP2025
Synthesizing data products, mathematical models, and observational measurements for lake temperature forecasting
Maike F. Holthuijzen, Robert B. Gramacy, Cayelan C. Carey +2
We present a novel forecasting framework for lake water temperature, which is crucial for managing lake ecosystems and drinking water resources. The General Lake Model (GLM) has be…